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Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC 2022-12-03
15:50		 Osaka Osaka Electro-Communication University A RISC-V Soft-core Processor with Custom VLIW Extension for Spiking Neural Network Accelerator
Mingyang Li, Yuki Hayashida (Mie Univ.) MBE2022-40 NC2022-62		 We aim to develop an embedded accelerator for spiking neural networks (SNN). In order to develop prototypes of various S... [more] MBE2022-40 NC2022-62
pp.86-91
RECONF 2018-09-18
14:50		 Fukuoka LINE Fukuoka Cafe Space Data Flow Representation and its Applications to Machine Learning Accelerator
Kazuki Nakada (Tsukuba Univ. of Tech.), Keiji Miura (Kwansei Gakuin Univ.) RECONF2018-32		 Researches and development of machine learning accelerators have been rapidly progressing. It is becoming important to r... [more] RECONF2018-32
pp.73-78
RECONF 2018-05-25
10:35		 Tokyo GATE CITY OHSAKI Design of an MTJ-Based Multi-Functional Lookup Table Circuit
Daisuke Suzuki, Takahiro Oka, Takahiro Hanyu (Tohoku Univ.) RECONF2018-12		 A multi-functional nonvolatile lookup table (LUT) circuit is described using a magnetic tunnel junction (MTJ) and CMOS h... [more] RECONF2018-12
pp.59-64
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM
(Joint) [detail]		 2010-12-01
11:05		 Fukuoka Kyushu University A study of the success rate of MIA under various probability density function estimations
Yohei Hori (AIST), Takahiro Yoshida (Aoyama Univ.), Toshihiro Katashita, Akashi Satoh (AIST) RECONF2010-48		 The pfrobability density function (PDF) of voltage of AES hardware
module is estimated in various ways and applied to ... [more]		 RECONF2010-48
pp.55-60
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